Week-Long
Technical Short Courses
DEB Program
Designated Emphasis in Biotechnology Program
ADP Program
Advanced Degree Program
BioTech SYSTEM
Outreach
Biotechnology Program Short CoursesSummer 2012The Biotechnology Program offers the following short courses on various techniques used in biotechnology research. If you would like to receive training in any of the areas listed below, please register through UCD Conference and Event Services. Their link is provided below each of the courses and by selecting it, registration will be possible for that particular class. FLOW CYTOMETRY COURSECo-Sponsored with FloCyte Training Institute
|
| Days, Dates and Times: | July 16 - 20th, 2012 Monday through Friday |
| Lead Instructors: | Carol Oxford, Director, UC Davis Optical Biology Lab; Susan DeMaggio, President and CEO, FloCyte Training Institute; Barbara L. Shacklett, PhD, Associate Professor, Dept. of Medical Microbiology and Immunology, School of Medicine, UC Davis |
| Facility: | Genome Center and Tupper Hall |
Flow Cytometry is a powerful tool in modern biology. The applications are numerous, and have contributed to many fields including by virology, immunology, and molecular biology. This course begins with introductory flow cytometry and progresses through development and design of multicolor panels. Afternoon sessions will include hands-on training in applications and training on various instruments. Students will be exposed to the Cytomation MoFlo cell sorter, Becton Dickinson FACScan flow cytometer, Coulter FC500 flow cytometer and a Compucyte iCys laser scanning cytometer/confocal microscope, and others.
Enrollment is limited to 30 students (lecture/lab), 40 lecture only.
Register here
See photos of 2011's course here
PROTEOMICS COURSE
| Days, Dates and Times: | July 30 - August 3rd, 2012 Monday through Friday |
| Lead Instructors: | Brett Phinney, PhD, (UC Davis Proteomics Facility www.proteomics.ucdavis.edu , UC Davis Genome Center). Rich Eigenheer, Ph.D, Kerry Nugent (Michrom Bioresources), Barrett Smith & Rudy Alvarado |
| Facility: | Genome Center and Science Lab Building (SLB) |
This introductory proteome analysis workshop is designed to expose participants to fundamental technology platforms and current information in the field of proteomics. The course will cover bottom up quantitative and non-quantitative electrospray liquid chromatography tandem mass spectrometry (ESI-LC/MS/MS) and “multidimensional protein identification technology (Mudpit LC/LC/MS/MS)” based proteomics using complex mixtures of proteins. Participants will perform in-gel digestions, phosphopeptide enrichment, identification, and database searching using open source software such as X! Tandem and OMSSA with MS/MS data generated during the course. Lectures will cover: fundamentals of protein chemistry and mass spectrometry (MS), MS based protein identification, posttranslational modification of proteins, label free methods of protein quantitation, database searching using MS/MS data, and traditional tools of protein biochemistry. Mass spectrometry and computer lab sessions will include hands on practical applications of the techniques, using state of the art instrumentation and software. Specific course topics may change due to sample and mass spectrometer availability
Enrollment is limited to 30 students (lecture/lab), 40 lecture only.
Register here
See photos of 2010's course here
MULTIVARIATE DATA ANALYSIS COURSE
| Days, Dates and Times: | August 20 - 24th, 2012 Monday through Friday |
| Lead Instructor: | Dmitry Grapov, PhD |
| Facility: | Geidt Hall and Science Lab Building (SLB) |
Get hands-on training with real-world Data using freely available tools. Learn how to strengthen your data management and sharing plan for grant proposals.
Course includes:
-
Data Exploration and Visualization
-
Analysis of Correlation Patterns
-
Transformation, Imputation and Outlier Detection
-
Principal and Independent Components Analyses
-
Multivariate Regression and Classification
-
Networks
-
Machine-Learning
-
And other useful tools to make your data work for you!
Get hands training using freely available tools which integrate the convenience of Microsoft Excel spreadsheets with the power of R statistical computing environment to create an open source software for multivariate data exploration and visualization, imDEV.
Enrollment is limited to 30 students (lecture/lab), 40 lecture only.
Register here




